Media Summary: Suppose your log likelihood function is so complicated that you can't write down (a closed-form version of) its derivative and ... The likelihood function, L, is a function of our dependent variable, which is a random variable. Therefore L is a random variable. Professor Patrick Sturgis, NCRM director, in the second (of three) part of the
Structural Models Lecture 2 4 - Detailed Analysis & Overview
Suppose your log likelihood function is so complicated that you can't write down (a closed-form version of) its derivative and ... The likelihood function, L, is a function of our dependent variable, which is a random variable. Therefore L is a random variable. Professor Patrick Sturgis, NCRM director, in the second (of three) part of the Presenter(s): Petra Todd In this video, Petra Todd explores the technical aspects as well as disadvantages and advantages of ...
